News Nvidia's upcoming ARM-based N1X SoC leaks again, this time on FurMark — modest benchmark score indicates early engineering sample but confirms Wind...

[Admin]

NVIDIA’s N1X SoC has surfaced in FurMark, revealing RTX 2060-tier performance despite packing 6,144 CUDA cores—more than an RTX 5070. Running under Windows 11 with new 590.22 drivers, the chip appears to be in validation.

Nvidia's upcoming ARM-based N1X SoC leaks again, this time on FurMark — modest benchmark score indicates early engineering sample but confirms Wind... : Read more

 

[Kindaian]

Interesting. I will look forward to this, when there is cuda support for it and laptops runing it with linux. Not interested at all in Windows.

 

[bit_user]

That's not even as good as some RTX 2060 scores, despite the N1X reportedly featuring 6,144 CUDA cores, more than the RTX 5070.
...
Running at a modest 120W power budget ...

There's your answer - or, at least a big part of it. Another big part might be the difference in memory bandwidth.

I found a claim that DGX Spark runs at 170 W, so that's probably the upper end of what the N1X would use:

https://www.reddit.com/r/hardware/comments/1jeghvg/comment/mij5pn6/

 

[ezst036]

Seems slower than the Apple M1/2/3/4 ARM chips.

 

[freebyrd26]

Color me less then impressed... this was originally supposed to be a 2025 product. Now what mid to late 2026?

Although, Strix Halo successor will probably be a year later than this, so it will probably sell.

 

[bit_user]

>Strix Halo successor will probably be a year later than this, so it will probably sell.

Medusa Halo is rumored to be cancelled. Judging from Strix Halo's lack of design wins, not a surprise.

https://www.techpowerup.com/339056/...resh-amd-cancels-medusa-halo-in-latest-rumors

Another way to read that is they decided to go with a newer & more powerful iGPU. Medusa Halo was rumored still to use RDNA 3.5.

 

[Kindaian]

>...cuda support for it and laptops runing it with linux.

N1X will run on Linux and WoA.

https://www.laptopmag.com/laptops/windows-laptops/nvidia-n1x-apu-benchmarks

"The Nvidia N1x APU was tested on an HP unit based on the motherboard specification for an HP 8EA3. The test unit was running Linux AArch64 and featured 128GB of system memory, confirming the N1x as a 20-thread, 2.81 GHz ARM processor."

CUDA is supported in Linux

CUDA Installation Guide for Linux — Installation Guide for Linux 12.9 documentation

The installation instructions for the CUDA Toolkit on Linux.

docs.nvidia.com

>Strix Halo successor will probably be a year later than this, so it will probably sell.

Medusa Halo is rumored to be cancelled. Judging from Strix Halo's lack of design wins, not a surprise.

https://www.techpowerup.com/339056/...resh-amd-cancels-medusa-halo-in-latest-rumors

CUDA requires drivers for each of the specific cores. Just because it has CUDA cores, doesn't mean it will have support for the CUDA software out of the box. None of the news i've skimmed on the internet had any info about that. So we will wait and see "soon"

 

[bit_user]

CUDA requires drivers for each of the specific cores. Just because it has CUDA cores, doesn't mean it will have support for the CUDA software out of the box. None of the news i've skimmed on the internet had any info about that. So we will wait and see "soon"

Everything Nvidia ever shipped in the last 15+ years supported CUDA, even the handful of graphics cards that didn't officially support it (GT 1030 being one example, I think). That includes all of their Jetson boards.

So, the chance that they won't support CUDA on these is basically nil. However, you're perhaps aware that a lot of the deep learning horsepower is probably contained in NVDLA blocks, and those aren't regular CUDA devices, as far as I know. They should still be supported via TensorRT, as well as probably some other deep learning frameworks, but they might not be open for you to program, directly.

 

[artk2219]

Seems slower than the Apple M1/2/3/4 ARM chips.

Probably not, but even if it is, it doesn't really matter as the only way to get an Apple CPU, is to buy an apple device, and get stuck with a whole different set of limitations.